Das Duopol der legitimen Gewalt im schweizerischen Bundesstaat : zwei Fallstudien zu Armee und Polizei

Das Monopol der legitimen Gewalt ist ein wichtiges Merkmal des modernen, souveränen Staates. Doch handelt es sich eigentlich um ein Duopol, denn diese Gewalt ist zwischen Armee und Polizei auf­geteilt. Diese Trennung ist für die Modernisierung der Gesellschaft ebenfalls zentral, unterliegen doch die beiden Corps völlig andern Einsatzdoktrinen. Doch wie steht es damit nun im Bundesstaat, in welchem auch den Gliedern staatliche Qualität zukommt? Verein­facht lautet die Antwort: Die Armee dem Bund, die Polizei den Kantonen. Doch bei der Gründung des schweizerischen Bundesstaa­tes hatten die Kantone noch bedeutende Kompetenzen im Bereich der Armee. Die Studie zeigt, wann und nach welcher Logik diese im Laufe der Zeit an den Bund übertragen worden sind. Komplizierter ist es bei der Polizei, wo gewisse Aufgaben ebenfalls schon früh an den Bund übergegangen sind, die Kantone jedoch das Gros der Kompetenzen behalten haben. Dazu kommt, dass die Armee im Rahmen ,,subsidiärer Einsätze" auch immer wieder polizeiliche Auf­gaben übernimmt. Mittels einer funktionalen Analyse erarbeitet der zweite Teil der Studie Kriterien für eine optimale Aufgabentei­lung. Le monopole de la violence légitime est une caractéristique impor­tante de l'Etat souverain moderne. En réalité il s'agit d'un duopole, puisque l'armée et la police se partagent les moyens de force. Cette séparation est essentielle pour la modernisation des sociétés. Les doctrines de mission des deux corps se distinguent profondément. Comment ce duopole se présente-t-il dans un Etat fédéral qui est caractérisé par deux niveaux étatiques ? Réponse simplifiée : L'Etat central dispose de l'armée, les Etats fédérés de la police. La réalité est plus complexe : Lors de la création de l'Etat moderne en 1848, les compétences des Cantons dans le domaine de la défense furent encore considérables. L'étude retrace les étapes et les causes de la perte de ces attributions. Les compétences policières sont par contre largement restées auprès des Cantons, mais les attributions de la police fédérale s'élargissent continuellement, les gardes-frontières collaborent avec les polices cantonales et les missions subsidiaires de l'armée se multiplient. L'attribution des tâches policières et les mo­des de collaboration entre Cantons et Confédération sont depuis un certain temps déjà en discussion. L'étude donne quelques critères pour une répartition fonctionnelle. Selon quels critères fonctionnels se « partage des pouvoirs » devrait-il être organisé ? La deuxième partie de l'étude donne quelques réponses

Learning of Closed-Loop Motion Control

Learning motion control as a unified process of designing the reference trajectory and the controller is one of the most challenging problems in robotics. The complexity of the problem prevents most of the existing optimization algorithms from giving satisfactory results. While model-based algorithms like iterative linear-quadratic-Gaussian (iLQG) can be used to design a suitable controller for the motion control, their performance is strongly limited by the model accuracy. An inaccurate model may lead to degraded performance of the controller on the physical system. Although using machine learning approaches to learn the motion control on real systems have been proven to be effective, their performance depends on good initialization. To address these issues, this paper introduces a two-step algorithm which combines the proven performance of a model-based controller with a model-free method for compensating for model inaccuracy. The first step optimizes the problem using iLQG. Then, in the second step this controller is used to initialize the policy for our PI$^2$-01 reinforcement learning algorithm. This algorithm is a derivation of the PI$^2$ algorithm enabling more stable and faster convergence. The performance of this method is demonstrated both in simulation and experimental results

Bandwidth Allocation and Reservation - End-to-End Specification

The Bandwidth Allocation and Reservation (BAR) activity within JRA4 of the EGEE project specified and implemented the necessary components and interfaces to enable the EGEE Grid middleware to request and use guaranteed bandwidth services. This report describes the components and interfaces required for an end-to-end BAR service and how they interact

Direct Interrogation of Viral Peptides Presented by the Class I HLA of HIV-Infected T Cells

Identification of CD8+ cytotoxic T lymphocyte (CTL) epitopes has traditionally relied upon testing of overlapping peptide libraries for their reactivity with T cells in vitro. Here, we pursued deep ligand sequencing (DLS) as an alternative method of directly identifying those ligands that are epitopes presented to CTLs by the class I human leukocyte antigens (HLA) of infected cells. Soluble class I HLA-A*11:01 (sHLA) was gathered from HIV-1 NL4-3-infected human CD4+ SUP-T1 cells. HLA-A*11:01 harvested from infected cells was immunoaffinity purified and acid boiled to release heavy and light chains from peptide ligands that were then recovered by size-exclusion filtration. The ligands were first fractionated by high-pH high-pressure liquid chromatography and then subjected to separation by nano-liquid chromatography (nano-LC)–mass spectrometry (MS) at low pH. Approximately 10 million ions were selected for sequencing by tandem mass spectrometry (MS/MS). HLA-A*11:01 ligand sequences were determined with PEAKS software and confirmed by comparison to spectra generated from synthetic peptides. DLS identified 42 viral ligands presented by HLA-A*11:01, and 37 of these were previously undetected. These data demonstrate that (i) HIV-1 Gag and Nef are extensively sampled, (ii) ligand length variants are prevalent, particularly within Gag and Nef hot spots where ligand sequences overlap, (iii) noncanonical ligands are T cell reactive, and (iv) HIV-1 ligands are derived from de novo synthesis rather than endocytic sampling. Next-generation immunotherapies must factor these nascent HIV-1 ligand length variants and the finding that CTL-reactive epitopes may be absent during infection of CD4+ T cells into strategies designed to enhance T cell immunity

Quantitative In Vivo Magnetic Resonance Spectroscopy Using Synthetic Signal Injection

Accurate conversion of magnetic resonance spectra to quantitative units of concentration generally requires compensation for differences in coil loading conditions, the gains of the various receiver amplifiers, and rescaling that occurs during post-processing manipulations. This can be efficiently achieved by injecting a precalibrated, artificial reference signal, or pseudo-signal into the data. We have previously demonstrated, using in vitro measurements, that robust pseudo-signal injection can be accomplished using a second coil, called the injector coil, properly designed and oriented so that it couples inductively with the receive coil used to acquire the data. In this work, we acquired nonlocalized phosphorous magnetic resonance spectroscopy measurements from resting human tibialis anterior muscles and used pseudo-signal injection to calculate the Pi, PCr, and ATP concentrations. We compared these results to parallel estimates of concentrations obtained using the more established phantom replacement method. Our results demonstrate that pseudo-signal injection using inductive coupling provides a robust calibration factor that is immune to coil loading conditions and suitable for use in human measurements. Having benefits in terms of ease of use and quantitative accuracy, this method is feasible for clinical use. The protocol we describe could be readily translated for use in patients with mitochondrial disease, where sensitive assessment of metabolite content could improve diagnosis and treatment

Identification of Class I HLA T Cell Control Epitopes for West Nile Virus

The recent West Nile virus (WNV) outbreak in the United States underscores the importance of understanding human immune responses to this pathogen. Via the presentation of viral peptide ligands at the cell surface, class I HLA mediate the T cell recognition and killing of WNV infected cells. At this time, there are two key unknowns in regards to understanding protective T cell immunity: 1) the number of viral ligands presented by the HLA of infected cells, and 2) the distribution of T cell responses to these available HLA/viral complexes. Here, comparative mass spectroscopy was applied to determine the number of WNV peptides presented by the HLA-A*11:01 of infected cells after which T cell responses to these HLA/WNV complexes were assessed. Six viral peptides derived from capsid, NS3, NS4b, and NS5 were presented. When T cells from infected individuals were tested for reactivity to these six viral ligands, polyfunctional T cells were focused on the GTL9 WNV capsid peptide, ligands from NS3, NS4b, and NS5 were less immunogenic, and two ligands were largely inert, demonstrating that class I HLA reduce the WNV polyprotein to a handful of immune targets and that polyfunctional T cells recognize infections by zeroing in on particular HLA/WNV epitopes. Such dominant HLA/peptide epitopes are poised to drive the development of WNV vaccines that elicit protective T cells as well as providing key antigens for immunoassays that establish correlates of viral immunity. © 2013 Kaabinejadian et al

‘How can I be post-Soviet if I was never Soviet?’ Rethinking categories of time and social change – a perspective from Kulob, southern Tajikistan

Based on anthropological fieldwork conducted in the Kulob region of southern Tajikistan, this paper examines the extent to which the existing periodization ‘Soviet/post-Soviet’ is still valid to frame scholarly works concerning Central Asia. It does so through an analysis of ‘alternative temporalities’ conveyed by Kulob residents to the author. These alternative temporalities are fashioned in especially clear ways in a relationship to the physical transformations occurring to two types of housing, namely flats in building blocks and detached houses. Without arguing that the categories ‘Soviet’ and ‘post-Soviet’ have become futile, the author advocates that the uncritically use of Soviet/post-Soviet has the unwanted effect of shaping the Central Asian region as a temporalized and specialized ‘other’

Understanding pharmacokinetics using realistic computational models of fluid dynamics: biosimulation of drug distribution within the CSF space for intrathecal drugs

We introduce how biophysical modeling in pharmaceutical research and development, combining physiological observations at the tissue, organ and system level with selected drug physiochemical properties, may contribute to a greater and non-intuitive understanding of drug pharmacokinetics and therapeutic design. Based on rich first-principle knowledge combined with experimental data at both conception and calibration stages, and leveraging our insights on disease processes and drug pharmacology, biophysical modeling may provide a novel and unique opportunity to interactively characterize detailed drug transport, distribution, and subsequent therapeutic effects. This innovative approach is exemplified through a three-dimensional (3D) computational fluid dynamics model of the spinal canal motivated by questions arising during pharmaceutical development of one molecular therapy for spinal cord injury. The model was based on actual geometry reconstructed from magnetic resonance imaging data subsequently transformed in a parametric 3D geometry and a corresponding finite-volume representation. With dynamics controlled by transient Navier–Stokes equations, the model was implemented in a commercial multi-physics software environment established in the automotive and aerospace industries. While predictions were performed in silico, the underlying biophysical models relied on multiple sources of experimental data and knowledge from scientific literature. The results have provided insights into the primary factors that can influence the intrathecal distribution of drug after lumbar administration. This example illustrates how the approach connects the causal chain underlying drug distribution, starting with the technical aspect of drug delivery systems, through physiology-driven drug transport, then eventually linking to tissue penetration, binding, residence, and ultimately clearance. Currently supporting our drug development projects with an improved understanding of systems physiology, biophysical models are being increasingly used to characterize drug transport and distribution in human tissues where pharmacokinetic measurements are difficult or impossible to perform. Importantly, biophysical models can describe emergent properties of a system, i.e. properties not identifiable through the study of the system’s components taken in isolation